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Abe1970/fx-multistep-forecasting-paper
fx-multistep-forecasting-paper is a machine learning model from Abe1970. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for custom. The card lists the license as other.
This is a documentation-only public release accompanying an exploratory research project on autoregressive multi-step forecasting in foreign-exchange markets.
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Updated Jul 24, 2026
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From the Hugging Face model README
This is a documentation-only public release accompanying an exploratory research project on autoregressive multi-step forecasting in foreign-exchange markets.
The system converts hourly market observations into a proprietary discrete representation and uses a decoder-only Transformer to forecast future market states.
The proprietary encoding procedure, vocabulary-construction rules, preprocessing pipeline, thresholds, mappings, model weights, and inference code are not included.
paper/forex_forecasting_summary_en.pdfpaper/forex_forecasting_summary_it.pdfThe one-hour trading rule did not cover transaction costs.
The cumulative four-hour rule produced, on the already examined out-of-sample period:
Long and short positions both contributed positively.
This result is exploratory. The out-of-sample period has already been examined, and the result has not been confirmed on a new, fully untouched holdout period.
This repository contains descriptive documentation only. It does not include:
The public material explains the research question, methodology at a high level, experimental design, economic results, and limitations.
Research, discussion, and methodological review only.
This material is not financial advice and does not constitute an offer, solicitation, or guarantee of future performance.
Alberto Altieri
Sisifo Capital
See LICENSE.
Altieri, A. (2026). Multi-Step Foreign Exchange Forecasting with a Transformer: An Accessible Research Summary. Sisifo Capital.